About TASIV: Our Valuation Methodology & Data Sources

TASIV does not apply the same valuation methodology to every company. Different sectors, business models, financial structures, growth profiles, and accounting characteristics may require different analytical approaches. Before producing an intrinsic value estimate, TASIV considers factors such as sector, profitability, cash-flow characteristics, growth, leverage, available financial history, and data quality. Where the available information or company characteristics do not support a sufficiently meaningful valuation, TASIV may limit or withhold the intrinsic value estimate rather than force a potentially misleading result.

Not every company should be forced into a valuation model.

Valuation Methodologies

The methodology selected for a company depends on its financial and business characteristics. TASIV displays the selected valuation approach on the individual company analysis.

A Conservative Approach to Long-Term Valuation

Long-term valuation requires assumptions about the future, and small changes in those assumptions can materially affect estimated value. For applicable DCF valuations, TASIV uses a 20-year explicit projection period rather than relying primarily on a perpetual-growth calculation. This reduces dependence on terminal value and makes the assumptions behind long-term valuation more visible.

From Business Value to Shareholder Value

Generating cash flow does not mean that all resulting business value belongs to shareholders. Financial obligations and available cash also matter. Where applicable, TASIV incorporates relevant balance-sheet adjustments when converting estimated business value into value attributable to shareholders.

The actual company page shows the relevant calculation components where applicable.

Data Sources & Verification

Reliable analysis begins with reliable data.

TASIV uses financial and market information obtained from an authorized Tadawul data provider and publicly available Saudi Exchange company disclosures. Core financial information used in analysis includes items such as:

Dividend information is based on official Saudi Exchange corporate-action disclosures.

Where applicable, TASIV displays verification information on the individual company page so users can understand the basis of the analysis.

Data Quality & Analytical Safeguards

Financial data and valuation models can be affected by missing information, unusual accounting structures, inconsistent financial trends, abnormal cash flows, leverage, limited reporting history, or outputs that fall outside reasonable analytical expectations. TASIV therefore applies automated checks at different stages of the analytical process.

The purpose of these controls is not to claim that errors are impossible. Their purpose is to reduce the likelihood that questionable data, unsuitable assumptions, or inappropriate model outputs pass silently through the analytical process.

Understanding High, Medium and Low

TASIV uses High, Medium and Low classifications across selected analytical measures to make complex financial information easier to interpret. These classifications are generated systematically from quantitative financial metrics rather than subjective analyst opinions. Where appropriate, the underlying criteria may account for differences between sectors and business models.

A High classification does not necessarily mean that a stock is attractive at its current market price, and a Low classification does not necessarily mean that a stock should be avoided. Valuation, financial performance, dividends, business fundamentals, and market price should be considered as separate analytical dimensions.

Transparency Without False Precision

TASIV is designed to help users understand why an analytical result appears rather than simply displaying a number. Throughout the platform, users can find:

Where appropriate, important assumptions are displayed directly on the individual company page. The goal is to make financial analysis more understandable without suggesting that valuation can eliminate uncertainty.

When TASIV Does Not Provide an Intrinsic Value

Sometimes the most responsible analytical result is not to produce a number. TASIV may display N/A or Model Not Applicable when available information or company characteristics do not provide a sufficiently reliable basis for the supported valuation methodologies.

Insufficient verified financial history; materially unusual accounting or cash-flow characteristics; a business structure not adequately represented by the available models; insufficient information required for a meaningful per-share estimate; other circumstances where model suitability is materially reduced.

In these situations, available financial information may still be displayed even though an intrinsic value estimate is withheld.